update logs configure
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[logs]
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[logs]
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## key 占位符
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## just a placholder
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api_key = "ef4ahfbwzwwtlwfpbertgq1i6mq0ab1q"
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api_key = "ef4ahfbwzwwtlwfpbertgq1i6mq0ab1q"
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## 是否开启日志采集
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## enable log collect or not
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enable = false
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enable = false
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## 接受日志的server地址, http/tcp/kafka, 只有kafka支持多个地址(broker)用逗号分割
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## the server receive logs, http/tcp/kafka, only kafka brokers can be multiple ip:ports with concatenation character ","
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send_to = "127.0.0.1:17878"
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send_to = "127.0.0.1:17878"
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## 发送日志的协议 http/tcp/kafka
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## send logs with protocol: http/tcp/kafka
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send_type = "http"
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send_type = "http"
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topic = "flashcatcloud"
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topic = "flashcatcloud"
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## 是否压缩发送
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## send logs with compression or not
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use_compress = false
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use_compress = false
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## 是否采用ssl
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## use ssl or not
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send_with_tls = false
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send_with_tls = false
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##
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## send logs in batchs
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batch_wait = 5
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batch_wait = 5
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## 日志offset信息保存目录
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## save offset in this path
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run_path = "/opt/categraf/run"
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run_path = "/opt/categraf/run"
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## 最多同时采集多少个日志文件
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## max files can be open
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open_files_limit = 100
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open_files_limit = 100
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## 定期扫描目录下是否有新增日志
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## scan config file in 10 seconds
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scan_period = 10
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scan_period = 10
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## udp 读buffer的大小
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## read buffer of udp
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frame_size = 9000
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frame_size = 9000
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##
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##
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collect_container_all = true
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collect_container_all = true
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## 全局的处理规则
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## glog processing rules
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[[logs.Processing_rules]]
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[[logs.Processing_rules]]
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## 单个日志采集配置
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## single log configure
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[[logs.items]]
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[[logs.items]]
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## file/journald/tcp/udp
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## file/journald/tcp/udp
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type = "file"
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type = "file"
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## type=file时 path必填,type=journald/tcp/udp时 port必填
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## type=file, path is required; type=journald/tcp/udp, port is required
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path = "/opt/tomcat/logs/*.txt"
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path = "/opt/tomcat/logs/*.txt"
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source = "tomcat"
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source = "tomcat"
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service = "my_service"
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service = "my_service"
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